observability-design

Installation
SKILL.md

Observability Design

You can't improve what you can't see. Observability design makes the internal workings of multi-agent systems visible — so designers can understand user experience problems, developers can debug failures, and teams can improve the system over time.

What to Make Observable

  • Workflow execution: Which agents were involved, in what order, with what results
  • Decision points: What decisions were made, what alternatives were considered, why one was chosen
  • Handoff details: What context transferred between agents, was anything lost
  • Timing: How long each agent took, where bottlenecks occur
  • Failures: What failed, how it was recovered, what the user experienced
  • Quality signals: Output quality scores, user satisfaction signals, task success markers

Observability for Different Audiences

For designers:

  • User journey view: What did the user experience across the whole workflow?
  • Pain point identification: Where did users struggle, abandon, or express frustration?
  • Quality patterns: Which outputs are high and low quality, and why? For developers:
  • Execution traces: Step-by-step log of agent actions
  • Error logs: What failed and where
  • Performance metrics: Latency, throughput, resource usage For product managers:
  • Usage patterns: Which workflows are used most, which are abandoned
Installs
54
GitHub Stars
137
First Seen
Jun 2, 2026
observability-design — owl-listener/ai-design-skills